Finance ToolkitをChatGPT、Claude、Geminiに接続

• 01 / 03マーケティングROIの算出方法
• 02 / 03ローンの比較方法
• 03 / 03資産の成長を予測する

最速日

810ms

最遅日

1143ms

14日間の傾向

遅延傾向+12%

Finance Toolkit Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_a8BK9rquvt03nS511Zq6D2QDwhccx83foWWpjwe7/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Finance Toolkit capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "finance-toolkit-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a8BK9rquvt03nS511Zq6D2QDwhccx83foWWpjwe7/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Finance ToolkitをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  財務アナリスト

  投資収益率や複雑な利息計算をAIで行いたいプロフェッショナル。

• 02

  経営コンサルタント

  クライアントへの提案用に、迅速かつ正確なローンシミュレーションが必要な方。

• 03

  AIエンジニア

  LLMの計算ミスを回避し、信頼性の高い財務エージェントを構築したい開発者。

• 01

  How does this MCP prevent AI math errors?

  It offloads the math from the LLM to a deterministic Javascript engine. This ensures the result is a calculation, not a prediction.

• 02

  Which AI clients can use this capability?

  Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use this toolkit.

• 03

  Is my financial data safe?

  Yes. The calculations are performed locally, meaning your sensitive rates and principals do not leave your infrastructure.

• 04

  Can I compare different loan types?

  Yes. You can use the amortization capability to generate summaries for both SAC and PRICE loan types.

• 05

  Do I need to host this myself?

  No. Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

• 06

  Why doesn't the amortization capability return the full 360-month table?

  Returning 360 lines of JSON would severely bloat the LLM's context window, increasing API costs and causing distraction. We return a "Smart Summary" (total paid, total interest, first and last installments) which is perfect for AI decision-making.

• 07

  Are the compound interest calculations precise enough for banking?

  Yes. The underlying engine relies on JavaScript's high-precision floating-point arithmetic (IEEE 754 standard). Outputs are rounded to 2 decimal places specifically for financial display standards.

• 08

  Can it compare SAC vs PRICE automatically?

  An AI agent using this MCP can execute the capability twice in parallel—once for SAC and once for PRICE—and instantly write a comparative analysis report for you based on the exact totals.

• 

  Financial Math Engine AIコネクタ

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  Intelligent Loan Comparator AIコネクタ

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• 

  Interest Amortization Engine AIコネクタ

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• 

  Deterministic 50/30/20 Budget Engine AIコネクタ

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